Finite Element Model for Glaucoma Onset Prediction
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Solution Overview
Problem
Early detection of glaucoma is challenging due to the lack of specific symptoms in its early stages, necessitating a method to predict onset based on risk factors and anatomical changes in the eye, particularly in the Lamina Cribrosa, to facilitate timely pharmacological intervention.
Innovation Solution
A Finite Element Model (FEM) is used to evaluate anatomical parameters of the Optical Nerve Head by replicating the eye's structure and simulating pressure differentials to create a pressure response profile for comparison with empirical data, identifying potential glaucoma candidates and determining appropriate treatment regimens.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional symptom-based detection methods are used, then the detection process is simple, but early glaucoma detection accuracy is poor due to lack of specific symptoms
Solution Approach 1:
The patent creates a virtual copy of the patient's optic nerve head using Finite Element Modeling (FEM). The FEM replicates the anatomical structure and biomechanical properties, allowing in silico pressure testing without requiring complex physical intervention devices. This virtual copying enables accurate early detection while keeping the actual detection system relatively simple.
Solution Approach 2:
The system performs preliminary biomechanical assessment by simulating pressure responses before actual glaucoma symptoms manifest. By conducting in silico tests with the FEM under various pressure conditions, the system predicts future glaucoma risk based on how the optic nerve head responds to pressure, enabling early intervention before irreversible damage occurs.
2Measurement precision
If in silico pressure testing with FEM is performed, then early prediction accuracy improves, but computational requirements and analysis time increase
Solution Approach 1:
The FEM model is constructed in advance from routine optical coherence tomography (OCT) imaging data, creating a ready-to-use virtual replica before pressure testing begins. This preliminary modeling step allows subsequent pressure simulations to be performed efficiently without requiring complex real-time measurements during the actual testing phase.
Solution Approach 2:
By creating a detailed virtual copy of the optic nerve head with accurate biomechanical properties, the system can perform multiple pressure simulations on the copy rather than requiring repeated physical measurements on the actual patient. This eliminates time-consuming repeated imaging while maintaining prediction accuracy.
3Measurement precision
If detailed biomechanical modeling of the Lamina Cribrosa is performed, then detection precision improves, but the complexity of the modeling process increases
Solution Approach 1:
The patent creates a detailed virtual copy of the Lamina Cribrosa within the FEM, replicating its mesh-like structure and biomechanical properties. This virtual modeling allows precise calculation of stress distributions and strain patterns that would be extremely difficult to measure directly in the actual tissue, achieving high precision without complex physical measurement devices.
Solution Approach 2:
The patent replaces complex physical measurement systems with computational mechanics. Instead of using sophisticated sensors and measurement devices to directly measure stress and strain in the Lamina Cribrosa, the system uses FEM-based computational mechanics to calculate these parameters from routine imaging data, simplifying the physical apparatus while maintaining precision.
Data Source
Figure 1~3
AI summary
A system and method for predicting the onset of glaucoma uses a Finite Element Model (FEM) to obtain a response profile of the Optical Nerve Head (ONH) inside an eye. To do this, the FEM is programmed with data from first and second images of the ONH that are respectively taken at the beginning and the end of an imposed pressure differential (e.g. over a range of about 8kPa). The FEM is then subjected to a sequence of pressure increments and the resultant profile is compared with empirical data to predict an onset of glaucoma.